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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Community Detection and Stochastic Block Models: Recent Developments JMLR 2018 Community Exploration: From Offline Optimization to Online Learning NeurIPS 2018 Comparative Analysis of Neural QA models on SQuAD ACL 2018 Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision NAACL 2018 Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks Interspeech 2018 Comparison Based Learning from Weak Oracles AISTATS 2018 Comparison-Based Random Forests ICML 2018 Comparison of Syllabification Algorithms and Training Strategies for Robust Word Count Estimation across Different Languages and Recording Conditions Interspeech 2018 Comparison of Unsupervised Modulation Filter Learning Methods for ASR Interspeech 2018 Competitive Caching with Machine Learned Advice ICML 2018 Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations ICML 2018 Compiling Combinatorial Prediction Games ICML 2018 Completely Unsupervised Phoneme Recognition by Adversarially Learning Mapping Relationships from Audio Embeddings Interspeech 2018 Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation CoRL 2018 Compositional Obverter Communication Learning from Raw Visual Input ICLR 2018 Comprehensive Supersense Disambiguation of English Prepositions and Possessives ACL 2018 Computationally and statistically efficient learning of causal Bayes nets using path queries NeurIPS 2018 Computational Modeling of Conversational Humor in Psychotherapy Interspeech 2018 Conditional Adversarial Domain Adaptation NeurIPS 2018 Conditional Generative Adversarial Network for Structured Domain Adaptation CVPR 2018 Conditional Image-to-Image Translation CVPR 2018 Conditional Noise-Contrastive Estimation of Unnormalised Models ICML 2018 Configurable Markov Decision Processes ICML 2018 Confounding-Robust Policy Improvement NeurIPS 2018 Connecting Optimization and Regularization Paths NeurIPS 2018